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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Image Processing Based on the Optimal Threshold for Signature Verification
verfasst von : Mei Wang, Min Sun, Huan Li, Huimin Lu
Erschienen in: Artificial Intelligence and Robotics
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Abstract
To realize the rapid and accurate signature verification, a new image processing method is developed on the basis of the optimal threshold algorithm. Firstly, the improved Gaussian filtering (IGF) algorithm is developed for the signature image to remove the noises. Secondly, the optimal threshold (OT) algorithm is developed to find the optimal threshold for the signature image segmentation. Finally, the deep learning method of a convolutional neural network is used to verify the signature image. It is experimentally proved that the IGF algorithm can get a better filtering effect, and the OT algorithm can obtain the better segmentation result, and the system has the better recognition accuracy.